ABSTRACT
Univariate frequency analysis is widely used for analyzing hydrologic data, including rainfall characteristics, peak discharge series, and low flow records. It is primarily used to estimate exceedance probabilities and variable magnitudes. A basic assumption of frequency analysis is that the vector of data was measured from a temporally or spatially homogeneous system. If measured data are significantly nonhomogeneous, the estimated probabilities or magnitudes will be inaccurate. Thus, changes such as climate or watershed alterations render the data unfit for frequency analysis and other modeling methods.
